Best Best AI Agent Skills for Database Engineers

A guide for designing tables in PostgreSQL to optimize for normalization, data types, indexing, and performance.

Design production-ready database schemas with best practices built-in.

Transform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.

Master database schema and data migrations across ORMs (Sequelize, TypeORM, Prisma), including rollback strategies and zero-downtime deployments.

.NET Backend Development Patterns for production-grade APIs, MCP servers, and enterprise backends using C#/.NET.

Create reusable, well-tested Terraform modules for common cloud infrastructure patterns across multiple cloud providers.

Comprehensive guide to designing event stores for event-sourced applications.

Comprehensive guide to building projections and read models for event-sourced systems.

Implements systematic checks for data quality in pipelines using frameworks like Great Expectations and dbt. By automating these validations, it ensures data accuracy, consistency, and compliance, significantly reducing manual oversight and error rates.

Facilitates the organization and quality assurance of data transformation models using dbt. This skill enhances data integrity and efficiency by providing structured patterns for building reliable data pipelines and documentation.

Handles Prisma ORM tasks such as schema design, migrations, and query optimization for various databases. It enhances efficiency by improving database operations and preventing common pitfalls through strategic guidance and best practices.

Facilitates the process of designing effective database schemas by considering normalization, primary keys, and relationships. This helps developers create well-structured databases, minimizing data redundancy and improving query performance.

Implements high-performance analytics patterns for ClickHouse database management. By utilizing these patterns, users can optimize data storage and query execution, leading to efficient performance in analytical processing tasks.

Full-stack Nuxt framework with database, KV, blob, and cache. Multi-cloud support (Cloudflare, Vercel, Deno, Netlify).

Handles serverless database management for Postgres projects, enabling seamless autoscaling and instant restores. By installing this skill, developers benefit from reduced infrastructure management overhead and enhanced performance scalability without manual intervention.

Creates and manages SQLite databases with D1 on Cloudflare Workers. Streamlines database operations and reduces migration headaches through built-in automation features.